Instructions to use WindyTranslate/translate-cpp-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-cpp-en with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindyTranslate/translate-cpp-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-cpp-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-cpp-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aa00ad907b96a45b5a019cf39022e78ef8c115175886ebf0f942bb11a25a897
- Size of remote file:
- 812 kB
- SHA256:
- 9fa9f577c9b97fe30fb2257e3873faa95a9caeca596faee22811d40e7afae0ea
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